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ai4qms

It is an AI build Question Answer Model which solves for the Frequent and similar queries for the Pharma Sector.

bolzmann_machine

Botzmann Machine is an implementation of unsupervised Deep Learning in which we are predicting the ratings of an users for an movie.

breakout-

It is an implementation of A3C model of AI(Artificial Intelligence) with the use of Both Convolution Nueral Networks and Reccurent Nueral Networks. In the we train the model to play the very popular breakout game.

community

Stores documents used by the TensorFlow developer community

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

credencesoft_demo_chatbot

Demo Chat Bot For Credensoft using NLP

demo-python

Repository to demonstrate sample issues in Python raised by DeepSource

doom_game

Doom is a game which has been trained with the impelmentation of Deep Convolutional Q Learning

image_recognistion

The implementation of convolution Nueral Network in which we train loads of dogs and cats images with various pixels and then we predict if an image is of a dog or an cat.

natural_language_processing

It is the implementation of natural language processing by training the dataset of all our previous email and prection an reply of yes or no to the upcoming emails.

resume_parser

resume parser which is used to retrieve information for students applying for internships and jobs.

self_driving_car

Self Driving Car is the implementation of the deep q-learning model in which an car is trained to move across an road path on its own.

start-here-guidelines

Lets Git started in the world of opensource, starting in the Zero To Mastery's opensource playground. Especially designed for education and practical experience purposes.

stock_market_prediction_numerical_and_textualanalysis

Stock_Market_Prediction_Numerical_and_TextualAnalysis is the prediction of stock prices of APPLE.inc from 2001 to 2014. using sementic analysis.

web-development

web_scrapping_tripadvisor

Retrieving hotels names, MakeMyTrip prices, Trip.com Prices, Agoda.com Prices as well as the ratings and No of reviews from TripAdvisor.com.